code: def data_two_groups_4(self):
      status = [
          False,
          False,
          True,
          True,
          False,
          False,
          False,
          True,
          False,
          True,
      ]
      y = Surv.from_arrays(status, self.time_2)
  
      expected_chisq = 0.0
      expected_pval = 1.0
      return (y, self.two_groups), (expected_chisq, expected_pval)
  
imports: import numpy
  from numpy.testing import assert_almost_equal
  import pandas
  from pandas.testing import assert_frame_equal
  import pytest
  from sksurv.compare import compare_survival
  from sksurv.datasets import load_veterans_lung_cancer
  from sksurv.testing import FixtureParameterFactory
  from sksurv.util import Surv
label_desc: Use image node_id 7 for calling the LogRankToyCases obj's underlying member method code with example usage: obj.data_two_groups_4() and returns: y,  self,  expected_chisq,  expected_pval